Advances in K-means Clustering: A Data Mining Thinking

By Christopher Niess

Cluster Analysis and K-means Clustering: An Introduction.- The Uniform Effect of K-means Clustering.- Generalizing Distance Functions for Fuzzy c-Means Clustering.- Information-Theoretic K-means for Text Clustering.- Selecting External Validation Measures for K-means Clustering.- K-means Based Local Decomposition for Rare Class Analysis.- K-means Based Consensus Clustering.

• Format: Paperback
• Language: English
• ISBN: 3642447570
• ISBN13: 9783642447570
• Release Date: August 2014
• Publisher: Springer
• Length: 180 Pages
• Weight: 0.62 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"